International Journal of Management Science and Engineering Management
Scope & Guideline
Advancing Management Science for Tomorrow's Engineering Challenges
Introduction
Aims and Scopes
- Optimization and Decision-Making Models:
The journal emphasizes the development of optimization models and decision-making frameworks that enhance efficiency in various sectors, including supply chain management, production scheduling, and resource allocation. - Sustainable Management Practices:
A core focus is on sustainable management practices, particularly in supply chains and manufacturing, exploring strategies that minimize environmental impact while maximizing economic performance. - Data-Driven Approaches and Analytics:
The publication frequently features research incorporating data analytics, machine learning, and artificial intelligence to inform decision-making processes and improve operational efficiencies. - Multi-Criteria Decision Analysis (MCDA):
Research often employs MCDA techniques to address complex decision-making scenarios, particularly in contexts where multiple conflicting criteria must be considered. - Resilience and Risk Management:
The journal highlights studies on resilience in management systems, particularly in the face of disruptions, emphasizing strategies for effective risk assessment and governance.
Trending and Emerging
- Integration of AI and Machine Learning:
Recent publications demonstrate a surge in research integrating artificial intelligence and machine learning techniques into management practices, particularly in predictive analytics and decision support systems. - Sustainable and Circular Economy Strategies:
There is a growing emphasis on sustainable practices and circular economy strategies, indicating a shift towards research that addresses environmental challenges and resource optimization. - Health and Crisis Management:
Emerging themes in health and crisis management, particularly in response to the COVID-19 pandemic, highlight the journal's focus on developing resilient systems capable of adapting to emergencies. - Collaborative and Networked Manufacturing:
Research exploring collaborative manufacturing and networked systems, particularly in the context of Industry 4.0, is gaining traction, reflecting the need for adaptability and integration in modern manufacturing processes. - Advanced Optimization Techniques:
The journal is increasingly featuring advanced optimization techniques, including metaheuristic and hybrid algorithms, to tackle complex scheduling and resource allocation problems.
Declining or Waning
- Traditional Inventory Management Techniques:
There is a noticeable decline in papers focusing solely on traditional inventory management methods, as contemporary research leans towards integrating advanced technologies and data-driven approaches. - Basic Theoretical Frameworks:
Research that relies heavily on classical theoretical models without adaptation to current technological advancements appears to be less frequent, indicating a shift towards more innovative and practical applications. - Single-Dimensional Supply Chain Analysis:
The journal has seen a reduction in studies that analyze supply chains from a singular perspective, moving towards more integrated and holistic approaches to supply chain management.
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